Human Centered Machine Learning

This document contains notes and summaries covering the content of the course Human-Centered Machine Learning within the Artificial Intelligence Master at Utrecht University. It covers the following topics: - intro to FAI - measuring fairness - interventions & making fair systems

This document contains notes and summaries covering the content of the course Human-Centered Machine Learning within the Artificial Intelligence Master at Utrecht University. It covers the following topics: - intro to XAI - interpretable models - model agnostic interpretability methods - neural network interpretability

This document contains notes and summaries covering the content of the course Human-Centered Machine Learning within the Artificial Intelligence Master at Utrecht University. It is divided into two parts: Explainability and Fairness. It covers the following topics: - intro to XAI - interpretable models - model agnostic interpretability methods - neural network interpretability - intro to FAI - measuring fairness - interventions & making fair systems